1cdf0e10cSrcweir<?xml version="1.0" encoding="UTF-8"?> 2cdf0e10cSrcweir<helpdocument version="1.0"> 3cdf0e10cSrcweir 4*02dbb15cSAndrew Rist<!--*********************************************************** 5cdf0e10cSrcweir * 6*02dbb15cSAndrew Rist * Licensed to the Apache Software Foundation (ASF) under one 7*02dbb15cSAndrew Rist * or more contributor license agreements. See the NOTICE file 8*02dbb15cSAndrew Rist * distributed with this work for additional information 9*02dbb15cSAndrew Rist * regarding copyright ownership. The ASF licenses this file 10*02dbb15cSAndrew Rist * to you under the Apache License, Version 2.0 (the 11*02dbb15cSAndrew Rist * "License"); you may not use this file except in compliance 12*02dbb15cSAndrew Rist * with the License. You may obtain a copy of the License at 13*02dbb15cSAndrew Rist * 14*02dbb15cSAndrew Rist * http://www.apache.org/licenses/LICENSE-2.0 15*02dbb15cSAndrew Rist * 16*02dbb15cSAndrew Rist * Unless required by applicable law or agreed to in writing, 17*02dbb15cSAndrew Rist * software distributed under the License is distributed on an 18*02dbb15cSAndrew Rist * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 19*02dbb15cSAndrew Rist * KIND, either express or implied. See the License for the 20*02dbb15cSAndrew Rist * specific language governing permissions and limitations 21*02dbb15cSAndrew Rist * under the License. 22*02dbb15cSAndrew Rist * 23*02dbb15cSAndrew Rist ***********************************************************--> 24*02dbb15cSAndrew Rist 25*02dbb15cSAndrew Rist 26cdf0e10cSrcweir 27cdf0e10cSrcweir 28cdf0e10cSrcweir<meta> 29cdf0e10cSrcweir <topic id="textscalc0104060182xml" indexer="include"> 30cdf0e10cSrcweir <title xml-lang="en-US" id="tit">Statistical Functions Part Two</title> 31cdf0e10cSrcweir <filename>/text/scalc/01/04060182.xhp</filename> 32cdf0e10cSrcweir </topic> 33cdf0e10cSrcweir </meta> 34cdf0e10cSrcweir <body> 35cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3154372" role="heading" level="1" l10n="U" oldref="1"><variable id="fh"><link href="text/scalc/01/04060182.xhp" name="Statistical Functions Part Two">Statistical Functions Part Two</link> 36cdf0e10cSrcweir</variable></paragraph> 37cdf0e10cSrcweir<sort order="asc"> 38cdf0e10cSrcweir<section id="finv"> 39cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3145388"><bookmark_value>FINV function</bookmark_value> 40cdf0e10cSrcweir <bookmark_value>inverse F probability distribution</bookmark_value> 41cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 42cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FINV" id="bm_id3146113" localize="false"/> 43cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3145388" role="heading" level="2" l10n="U" oldref="2">FINV</paragraph> 44cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155089" role="paragraph" l10n="U" oldref="3"><ahelp hid="HID_FUNC_FINV">Returns the inverse of the F probability distribution.</ahelp> The F distribution is used for F tests in order to set the relation between two differing data sets.</paragraph> 45cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3153816" role="heading" level="3" l10n="U" oldref="4">Syntax</paragraph> 46cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153068" role="code" l10n="U" oldref="5">FINV(Number; DegreesFreedom1; DegreesFreedom2)</paragraph> 47cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3146866" role="paragraph" l10n="U" oldref="6"> 48cdf0e10cSrcweir <emph>Number</emph> is probability value for which the inverse F distribution is to be calculated.</paragraph> 49cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153914" role="paragraph" l10n="U" oldref="7"> 50cdf0e10cSrcweir <emph>DegreesFreedom1</emph> is the number of degrees of freedom in the numerator of the F distribution.</paragraph> 51cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3148607" role="paragraph" l10n="U" oldref="8"> 52cdf0e10cSrcweir <emph>DegreesFreedom2</emph> is the number of degrees of freedom in the denominator of the F distribution.</paragraph> 53cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3156021" role="heading" level="3" l10n="U" oldref="9">Example</paragraph> 54cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145073" role="paragraph" l10n="U" oldref="10"> 55cdf0e10cSrcweir <item type="input">=FINV(0.5;5;10)</item> yields 0.93.</paragraph> 56cdf0e10cSrcweir </section> 57cdf0e10cSrcweir <section id="fisher"> 58cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3150888"><bookmark_value>FISHER function</bookmark_value> 59cdf0e10cSrcweir</bookmark> 60cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHER" id="bm_id3146782" localize="false"/> 61cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3150888" role="heading" level="2" l10n="U" 62cdf0e10cSrcweir oldref="12">FISHER</paragraph> 63cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155384" role="paragraph" l10n="U" oldref="13"><ahelp hid="HID_FUNC_FISHER">Returns the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph> 64cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3149898" role="heading" level="3" l10n="U" 65cdf0e10cSrcweir oldref="14">Syntax</paragraph> 66cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3143220" role="code" l10n="U" oldref="15">FISHER(Number)</paragraph> 67cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3159228" role="paragraph" l10n="U" oldref="16"> 68cdf0e10cSrcweir <emph>Number</emph> is the value to be transformed.</paragraph> 69cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3154763" role="heading" level="3" l10n="U" 70cdf0e10cSrcweir oldref="17">Example</paragraph> 71cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149383" role="paragraph" l10n="U" oldref="18"> 72cdf0e10cSrcweir <item type="input">=FISHER(0.5)</item> yields 0.55.</paragraph> 73cdf0e10cSrcweir </section> 74cdf0e10cSrcweir <section id="fisherinv"> 75cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3155758"><bookmark_value>FISHERINV function</bookmark_value> 76cdf0e10cSrcweir <bookmark_value>inverse of Fisher transformation</bookmark_value> 77cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 78cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FISHERINV" id="bm_id3149317" localize="false"/> 79cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3155758" role="heading" level="2" l10n="U" 80cdf0e10cSrcweir oldref="20">FISHERINV</paragraph> 81cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154734" role="paragraph" l10n="U" oldref="21"><ahelp hid="HID_FUNC_FISHERINV">Returns the inverse of the Fisher transformation for x and creates a function close to a normal distribution.</ahelp></paragraph> 82cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3155755" role="heading" level="3" l10n="U" 83cdf0e10cSrcweir oldref="22">Syntax</paragraph> 84cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3146108" role="code" l10n="U" oldref="23">FISHERINV(Number)</paragraph> 85cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145115" role="paragraph" l10n="U" oldref="24"> 86cdf0e10cSrcweir <emph>Number</emph> is the value that is to undergo reverse-transformation.</paragraph> 87cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3155744" role="heading" level="3" l10n="U" 88cdf0e10cSrcweir oldref="25">Example</paragraph> 89cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150432" role="paragraph" l10n="U" oldref="26"> 90cdf0e10cSrcweir <item type="input">=FISHERINV(0.5)</item> yields 0.46.</paragraph> 91cdf0e10cSrcweir </section> 92cdf0e10cSrcweir <section id="ftest"> 93cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3151390"><bookmark_value>FTEST function</bookmark_value> 94cdf0e10cSrcweir</bookmark> 95cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FTEST" id="bm_id3159263" localize="false"/> 96cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3151390" role="heading" level="2" l10n="U" 97cdf0e10cSrcweir oldref="28">FTEST</paragraph> 98cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150534" role="paragraph" l10n="U" oldref="29"><ahelp hid="HID_FUNC_FTEST">Returns the result of an F test.</ahelp></paragraph> 99cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3166466" role="heading" level="3" l10n="U" 100cdf0e10cSrcweir oldref="30">Syntax</paragraph> 101cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153024" role="code" l10n="U" oldref="31">FTEST(Data1; Data2)</paragraph> 102cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150032" role="paragraph" l10n="U" oldref="32"> 103cdf0e10cSrcweir <emph>Data1</emph> is the first record array.</paragraph> 104cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153018" role="paragraph" l10n="U" oldref="33"> 105cdf0e10cSrcweir <emph>Data2</emph> is the second record array.</paragraph> 106cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3153123" role="heading" level="3" l10n="U" 107cdf0e10cSrcweir oldref="34">Example</paragraph> 108cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3159126" role="paragraph" l10n="U" oldref="35"> 109cdf0e10cSrcweir <item type="input">=FTEST(A1:A30;B1:B12)</item> calculates whether the two data sets are different in their variance and returns the probability that both sets could have come from the same total population.</paragraph> 110cdf0e10cSrcweir </section> 111cdf0e10cSrcweir <section id="fdist"> 112cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3150372"><bookmark_value>FDIST function</bookmark_value> 113cdf0e10cSrcweir</bookmark> 114cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_FVERT" id="bm_id3149722" localize="false"/> 115cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3150372" role="heading" level="2" l10n="U" 116cdf0e10cSrcweir oldref="37">FDIST</paragraph> 117cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3152981" role="paragraph" l10n="U" oldref="38"><ahelp hid="HID_FUNC_FVERT">Calculates the values of an F distribution.</ahelp></paragraph> 118cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3150484" role="heading" level="3" l10n="U" 119cdf0e10cSrcweir oldref="39">Syntax</paragraph> 120cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145826" role="code" l10n="U" oldref="40">FDIST(Number; DegreesFreedom1; DegreesFreedom2)</paragraph> 121cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150461" role="paragraph" l10n="U" oldref="41"> 122cdf0e10cSrcweir <emph>Number</emph> is the value for which the F distribution is to be calculated.</paragraph> 123cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150029" role="paragraph" l10n="U" oldref="42"> 124cdf0e10cSrcweir <emph>degreesFreedom1</emph> is the degrees of freedom in the numerator in the F distribution.</paragraph> 125cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3146877" role="paragraph" l10n="U" oldref="43"> 126cdf0e10cSrcweir <emph>degreesFreedom2</emph> is the degrees of freedom in the denominator in the F distribution.</paragraph> 127cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3147423" role="heading" level="3" l10n="U" 128cdf0e10cSrcweir oldref="44">Example</paragraph> 129cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150696" role="paragraph" l10n="U" oldref="45"> 130cdf0e10cSrcweir <item type="input">=FDIST(0.8;8;12)</item> yields 0.61.</paragraph> 131cdf0e10cSrcweir </section> 132cdf0e10cSrcweir <section id="gamma"> 133cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMA" id="bm_id0119200903221254" localize="false"/> 134cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id0119200903223192"><bookmark_value>GAMMA function</bookmark_value> 135cdf0e10cSrcweir</bookmark> 136cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id0119200903205393" role="heading" level="2" l10n="NEW">GAMMA</paragraph> 137cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id0119200903205379" role="paragraph" l10n="NEW"><ahelp hid=".">Returns the Gamma function value.</ahelp> Note that GAMMAINV is not the inverse of GAMMA, but of GAMMADIST.</paragraph> 138cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id0119200903271613" role="heading" level="3" l10n="NEW">Syntax</paragraph> 139cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id0119200903271614" role="paragraph" l10n="NEW"> 140cdf0e10cSrcweir <emph>Number</emph> is the number for which the Gamma function value is to be calculated.</paragraph> 141cdf0e10cSrcweir </section> 142cdf0e10cSrcweir <section id="gammainv"> 143cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3154841"><bookmark_value>GAMMAINV function</bookmark_value> 144cdf0e10cSrcweir</bookmark> 145cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAINV" id="bm_id3149249" localize="false"/> 146cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3154841" role="heading" level="2" l10n="U" 147cdf0e10cSrcweir oldref="47">GAMMAINV</paragraph> 148cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153932" role="paragraph" l10n="U" oldref="48"><ahelp hid="HID_FUNC_GAMMAINV">Returns the inverse of the Gamma cumulative distribution GAMMADIST.</ahelp> This function allows you to search for variables with different distribution.</paragraph> 149cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3149949" role="heading" level="3" l10n="U" 150cdf0e10cSrcweir oldref="49">Syntax</paragraph> 151cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155828" role="code" l10n="U" oldref="50">GAMMAINV(Number; Alpha; Beta)</paragraph> 152cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145138" role="paragraph" l10n="U" oldref="51"> 153cdf0e10cSrcweir <emph>Number</emph> is the probability value for which the inverse Gamma distribution is to be calculated.</paragraph> 154cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3152785" role="paragraph" l10n="U" oldref="52"> 155cdf0e10cSrcweir <emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph> 156cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154561" role="paragraph" l10n="U" oldref="53"> 157cdf0e10cSrcweir <emph>Beta</emph> is the parameter Beta of the Gamma distribution.</paragraph> 158cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3148734" role="heading" level="3" l10n="U" 159cdf0e10cSrcweir oldref="54">Example</paragraph> 160cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153331" role="paragraph" l10n="U" oldref="55"> 161cdf0e10cSrcweir <item type="input">=GAMMAINV(0.8;1;1)</item> yields 1.61.</paragraph> 162cdf0e10cSrcweir </section> 163cdf0e10cSrcweir <section id="gammaln"> 164cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3154806"><bookmark_value>GAMMALN function</bookmark_value> 165cdf0e10cSrcweir <bookmark_value>natural logarithm of Gamma function</bookmark_value> 166cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 167cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMALN" id="bm_id3149511" localize="false"/> 168cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3154806" role="heading" level="2" l10n="U" 169cdf0e10cSrcweir oldref="57">GAMMALN</paragraph> 170cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3148572" role="paragraph" l10n="U" oldref="58"><ahelp hid="HID_FUNC_GAMMALN">Returns the natural logarithm of the Gamma function: G(x).</ahelp></paragraph> 171cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3152999" role="heading" level="3" l10n="U" 172cdf0e10cSrcweir oldref="59">Syntax</paragraph> 173cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153112" role="code" l10n="U" oldref="60">GAMMALN(Number)</paragraph> 174cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154502" role="paragraph" l10n="U" oldref="61"> 175cdf0e10cSrcweir <emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated.</paragraph> 176cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3153568" role="heading" level="3" l10n="U" 177cdf0e10cSrcweir oldref="62">Example</paragraph> 178cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153730" role="paragraph" l10n="U" oldref="63"> 179cdf0e10cSrcweir <item type="input">=GAMMALN(2)</item> yields 0.</paragraph> 180cdf0e10cSrcweir </section> 181cdf0e10cSrcweir <section id="gammadist"> 182cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3150132"><bookmark_value>GAMMADIST function</bookmark_value> 183cdf0e10cSrcweir</bookmark> 184cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAMMAVERT" id="bm_id3154330" localize="false"/> 185cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3150132" role="heading" level="2" l10n="U" 186cdf0e10cSrcweir oldref="65">GAMMADIST</paragraph> 187cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155931" role="paragraph" l10n="U" oldref="66"><ahelp hid="HID_FUNC_GAMMAVERT">Returns the values of a Gamma distribution.</ahelp></paragraph> 188cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id0119200903333675" role="paragraph" l10n="NEW">The inverse function is GAMMAINV.</paragraph> 189cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3147373" role="heading" level="3" l10n="U" 190cdf0e10cSrcweir oldref="67">Syntax</paragraph> 191cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155436" role="code" l10n="U" oldref="68">GAMMADIST(Number; Alpha; Beta; C)</paragraph> 192cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150571" role="paragraph" l10n="U" oldref="69"> 193cdf0e10cSrcweir <emph>Number</emph> is the value for which the Gamma distribution is to be calculated.</paragraph> 194cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145295" role="paragraph" l10n="U" oldref="70"> 195cdf0e10cSrcweir <emph>Alpha</emph> is the parameter Alpha of the Gamma distribution.</paragraph> 196cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3151015" role="paragraph" l10n="U" oldref="71"> 197cdf0e10cSrcweir <emph>Beta</emph> is the parameter Beta of the Gamma distribution</paragraph> 198cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3157972" role="paragraph" l10n="CHG" oldref="72"> 199cdf0e10cSrcweir <emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution.</paragraph> 200cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3149535" role="heading" level="3" l10n="U" 201cdf0e10cSrcweir oldref="73">Example</paragraph> 202cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3145354" role="paragraph" l10n="U" oldref="74"> 203cdf0e10cSrcweir <item type="input">=GAMMADIST(2;1;1;1)</item> yields 0.86.</paragraph> 204cdf0e10cSrcweir </section> 205cdf0e10cSrcweir <section id="gauss"> 206cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3150272"><bookmark_value>GAUSS function</bookmark_value> 207cdf0e10cSrcweir <bookmark_value>normal distribution; standard</bookmark_value> 208cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 209cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GAUSS" id="bm_id3149388" localize="false"/> 210cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3150272" role="heading" level="2" l10n="U" 211cdf0e10cSrcweir oldref="76">GAUSS</paragraph> 212cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149030" role="paragraph" l10n="U" oldref="77"><ahelp hid="HID_FUNC_GAUSS">Returns the standard normal cumulative distribution.</ahelp></paragraph> 213cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id2059694" role="paragraph" l10n="NEW">It is GAUSS(x)=NORMSDIST(x)-0.5</paragraph> 214cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3153551" role="heading" level="3" l10n="U" 215cdf0e10cSrcweir oldref="78">Syntax</paragraph> 216cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155368" role="code" l10n="U" oldref="79">GAUSS(Number)</paragraph> 217cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153228" role="paragraph" l10n="CHG" oldref="80"> 218cdf0e10cSrcweir <emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated.</paragraph> 219cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3150691" role="heading" level="3" l10n="U" 220cdf0e10cSrcweir oldref="81">Example</paragraph> 221cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154867" role="paragraph" l10n="U" oldref="82"> 222cdf0e10cSrcweir <item type="input">=GAUSS(0.19)</item> = 0.08</paragraph> 223cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3148594" role="paragraph" l10n="U" oldref="83"> 224cdf0e10cSrcweir <item type="input">=GAUSS(0.0375)</item> = 0.01</paragraph> 225cdf0e10cSrcweir </section> 226cdf0e10cSrcweir <section id="geomean"> 227cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3148425"><bookmark_value>GEOMEAN function</bookmark_value> 228cdf0e10cSrcweir <bookmark_value>means;geometric</bookmark_value> 229cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 230cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GEOMITTEL" id="bm_id3149777" localize="false"/> 231cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3148425" role="heading" level="2" l10n="U" 232cdf0e10cSrcweir oldref="85">GEOMEAN</paragraph> 233cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3156257" role="paragraph" l10n="U" oldref="86"><ahelp hid="HID_FUNC_GEOMITTEL">Returns the geometric mean of a sample.</ahelp></paragraph> 234cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3147167" role="heading" level="3" l10n="U" 235cdf0e10cSrcweir oldref="87">Syntax</paragraph> 236cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153720" role="code" l10n="U" oldref="88">GEOMEAN(Number1; Number2; ...Number30)</paragraph> 237cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3152585" role="paragraph" l10n="CHG" oldref="89"> 238cdf0e10cSrcweir <emph>Number1, Number2,...Number30</emph> are numeric arguments or ranges that represent a random sample.</paragraph> 239cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3146146" role="heading" level="3" l10n="U" 240cdf0e10cSrcweir oldref="90">Example</paragraph> 241cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149819" role="paragraph" l10n="U" oldref="92"> 242cdf0e10cSrcweir <item type="input">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79.</paragraph> 243cdf0e10cSrcweir </section> 244cdf0e10cSrcweir <section id="trimmean"> 245cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3152966"><bookmark_value>TRIMMEAN function</bookmark_value> 246cdf0e10cSrcweir <bookmark_value>means;of data set without margin data</bookmark_value> 247cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 248cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GESTUTZTMITTEL" id="bm_id3145081" localize="false"/> 249cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3152966" role="heading" level="2" l10n="U" 250cdf0e10cSrcweir oldref="94">TRIMMEAN</paragraph> 251cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149716" role="paragraph" l10n="U" oldref="95"><ahelp hid="HID_FUNC_GESTUTZTMITTEL">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp></paragraph> 252cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3149281" role="heading" level="3" l10n="U" 253cdf0e10cSrcweir oldref="96">Syntax</paragraph> 254cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154821" role="code" l10n="U" oldref="97">TRIMMEAN(Data; Alpha)</paragraph> 255cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155834" role="paragraph" l10n="U" oldref="98"> 256cdf0e10cSrcweir <emph>Data</emph> is the array of data in the sample.</paragraph> 257cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3156304" role="paragraph" l10n="U" oldref="99"> 258cdf0e10cSrcweir <emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration.</paragraph> 259cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3151180" role="heading" level="3" l10n="U" 260cdf0e10cSrcweir oldref="100">Example</paragraph> 261cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3156130" role="paragraph" l10n="U" oldref="101"> 262cdf0e10cSrcweir <item type="input">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands.</paragraph> 263cdf0e10cSrcweir </section> 264cdf0e10cSrcweir <section id="ztest"> 265cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3153216"><bookmark_value>ZTEST function</bookmark_value> 266cdf0e10cSrcweir</bookmark> 267cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_GTEST" id="bm_id3147569" localize="false"/> 268cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3153216" role="heading" level="2" l10n="U" 269cdf0e10cSrcweir oldref="103">ZTEST</paragraph> 270cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3150758" role="paragraph" l10n="CHG" oldref="104"><ahelp hid="HID_FUNC_GTEST">Calculates the probability of observing a z-statistic greater than the one computed based on a sample.</ahelp></paragraph> 271cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3150872" role="heading" level="3" l10n="U" 272cdf0e10cSrcweir oldref="105">Syntax</paragraph> 273cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153274" role="code" l10n="CHG" oldref="106">ZTEST(Data; mu; Sigma)</paragraph> 274cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3156109" role="paragraph" l10n="CHG" oldref="107"> 275cdf0e10cSrcweir <emph>Data</emph> is the given sample, drawn from a normally distributed population.</paragraph> 276cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149977" role="paragraph" l10n="CHG" oldref="108"> 277cdf0e10cSrcweir <emph>mu</emph> is the known mean of the population.</paragraph> 278cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154740" role="paragraph" l10n="CHG" oldref="109"> 279cdf0e10cSrcweir <emph>Sigma</emph> (optional) is the known standard deviation of the population. If omitted, the standard deviation of the given sample is used.</paragraph> 280cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id0305200911372999" role="paragraph" l10n="NEW">See also the <link href="http://wiki.services.openoffice.org/wiki/Documentation/How_Tos/Calc:_ZTEST_function">Wiki page</link>.</paragraph> 281cdf0e10cSrcweir </section> 282cdf0e10cSrcweir <section id="harmean"> 283cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3153623"><bookmark_value>HARMEAN function</bookmark_value> 284cdf0e10cSrcweir <bookmark_value>means;harmonic</bookmark_value> 285cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 286cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HARMITTEL" id="bm_id3154052" localize="false"/> 287cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3153623" role="heading" level="2" l10n="U" 288cdf0e10cSrcweir oldref="113">HARMEAN</paragraph> 289cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155102" role="paragraph" l10n="U" oldref="114"><ahelp hid="HID_FUNC_HARMITTEL">Returns the harmonic mean of a data set.</ahelp></paragraph> 290cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3146900" role="heading" level="3" l10n="U" 291cdf0e10cSrcweir oldref="115">Syntax</paragraph> 292cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3149287" role="code" l10n="U" oldref="116">HARMEAN(Number1; Number2; ...Number30)</paragraph> 293cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154303" role="paragraph" l10n="CHG" oldref="117"> 294cdf0e10cSrcweir <emph>Number1,Number2,...Number30</emph> are up to 30 values or ranges, that can be used to calculate the harmonic mean.</paragraph> 295cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3159179" role="heading" level="3" l10n="U" 296cdf0e10cSrcweir oldref="118">Example</paragraph> 297cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3146093" role="paragraph" l10n="U" oldref="120"> 298cdf0e10cSrcweir <item type="input">=HARMEAN(23;46;69)</item> = 37.64. The harmonic mean of this random sample is thus 37.64</paragraph> 299cdf0e10cSrcweir </section> 300cdf0e10cSrcweir <section id="hypgeomdist"> 301cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="index" id="bm_id3152801"><bookmark_value>HYPGEOMDIST function</bookmark_value> 302cdf0e10cSrcweir <bookmark_value>sampling without replacement</bookmark_value> 303cdf0e10cSrcweir</bookmark><comment>mw added one entry</comment> 304cdf0e10cSrcweir<bookmark xml-lang="en-US" branch="hid/SC_HID_FUNC_HYPGEOMVERT" id="bm_id3153910" localize="false"/> 305cdf0e10cSrcweir<paragraph xml-lang="en-US" id="hd_id3152801" role="heading" level="2" l10n="U" 306cdf0e10cSrcweir oldref="122">HYPGEOMDIST</paragraph> 307cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3159341" role="paragraph" l10n="U" oldref="123"><ahelp hid="HID_FUNC_HYPGEOMVERT">Returns the hypergeometric distribution.</ahelp></paragraph> 308cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3154697" role="heading" level="3" l10n="U" 309cdf0e10cSrcweir oldref="124">Syntax</paragraph> 310cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3155388" role="code" l10n="U" oldref="125">HYPGEOMDIST(X; NSample; Successes; NPopulation)</paragraph> 311cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154933" role="paragraph" l10n="U" oldref="126"> 312cdf0e10cSrcweir <emph>X</emph> is the number of results achieved in the random sample.</paragraph> 313cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3153106" role="paragraph" l10n="U" oldref="127"> 314cdf0e10cSrcweir <emph>NSample</emph> is the size of the random sample.</paragraph> 315cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3146992" role="paragraph" l10n="U" oldref="128"> 316cdf0e10cSrcweir <emph>Successes</emph> is the number of possible results in the total population.</paragraph> 317cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3148826" role="paragraph" l10n="U" oldref="129"> 318cdf0e10cSrcweir <emph>NPopulation </emph>is the size of the total population.</paragraph> 319cdf0e10cSrcweir <paragraph xml-lang="en-US" id="hd_id3150529" role="heading" level="3" l10n="U" 320cdf0e10cSrcweir oldref="130">Example</paragraph> 321cdf0e10cSrcweir <paragraph xml-lang="en-US" id="par_id3154904" role="paragraph" l10n="U" oldref="131"> 322cdf0e10cSrcweir <item type="input">=HYPGEOMDIST(2;2;90;100)</item> yields 0.81. If 90 out of 100 pieces of buttered toast fall from the table and hit the floor with the buttered side first, then if 2 pieces of buttered toast are dropped from the table, the probability is 81%, that both will strike buttered side first.</paragraph> 323cdf0e10cSrcweir </section> 324cdf0e10cSrcweir</sort> 325cdf0e10cSrcweir<section id="relatedtopics"> 326cdf0e10cSrcweir <embed href="text/scalc/01/04060100.xhp#drking"/> 327cdf0e10cSrcweir </section> 328cdf0e10cSrcweir </body> 329cdf0e10cSrcweir</helpdocument>